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从泰国患者中分离的耐多药淋病奈瑟菌的肽条码。

Peptide barcode of multidrug-resistant strains of Neisseria gonorrhoeae isolated from patients in Thailand.

机构信息

Functional Proteomics Technology Laboratory, National Center for Genetic Engineering and Biotechnology, Khlong Luang, Pathumthani, Thailand.

Graduate Student of Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Khlong Luang, Pathumthani, Thailand.

出版信息

PLoS One. 2023 Aug 3;18(8):e0289308. doi: 10.1371/journal.pone.0289308. eCollection 2023.

Abstract

The emergence of multidrug-resistant strains of Neisseria gonorrhoeae constitutes a serious threat to public health. The present study aimed to investigate peptidome-based biomarkers of multidrug-resistant N. gonorrhoeae, using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and liquid chromatography tandem mass spectrometry (LC-MS). The peptide barcode database of multidrug resistant N. gonorrhoeae was generated from the whole-cell peptides of 93 N. gonorrhoeae isolated from patients in Thailand. The dendrogram of 93 independent isolates of antibiotic-resistant N. gonorrhoeae revealed five distinct clusters including azithromycin resistance group (AZ), ciprofloxacin resistance group (C), ciprofloxacin and penicillin resistance group (CP), ciprofloxacin and tetracycline resistance group (CT), ciprofloxacin, penicillin and tetracycline resistance group (CPT). The peptidomes of all clusters were comparatively analyzed using a high-performance liquid chromatography-mass spectrometry method (LC-MS). Nine peptides derived from 9 proteins were highly expressed in AZ (p value < 0.05). These peptides also played a crucial role in numerous pathways and showed a strong relationship with the antibiotic resistances. In conclusion, this study showed a rapid screening of antibiotic-resistant N. gonorrhoeae using MALDI-TOF MS. Additionally, potential specific peptidome-based biomarker candidates for AZ, C, CP, CT and CPT-resistant N. gonorrhoeae were identified.

摘要

淋病奈瑟菌耐多药株的出现对公共卫生构成了严重威胁。本研究旨在使用基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)和液相色谱串联质谱(LC-MS)技术,研究基于肽组学的耐多药淋病奈瑟菌生物标志物。从泰国患者分离的 93 株淋病奈瑟菌的全细胞肽中生成了耐多药淋病奈瑟菌的肽条码数据库。93 株独立耐抗生素淋病奈瑟菌的系统发育树显示了 5 个不同的聚类,包括阿奇霉素耐药组(AZ)、环丙沙星耐药组(C)、环丙沙星和青霉素耐药组(CP)、环丙沙星和四环素耐药组(CT)、环丙沙星、青霉素和四环素耐药组(CPT)。使用高效液相色谱-质谱法(LC-MS)比较分析了所有聚类的肽组。在 AZ 中高度表达的 9 个蛋白的 9 个肽(p 值 < 0.05)。这些肽还在许多途径中发挥着关键作用,并与抗生素耐药性密切相关。总之,本研究使用 MALDI-TOF MS 快速筛选耐抗生素淋病奈瑟菌。此外,还确定了针对 AZ、C、CP、CT 和 CPT 耐药淋病奈瑟菌的潜在特异性肽组学生物标志物候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4b6/10399818/eb021f03c0ed/pone.0289308.g001.jpg

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